Research Agent Orchestrator FAQs

Question 1

How does this skill improve research speed?

Accepted Answer

By moving from sequential searching to parallel orchestration, this skill slashes research time. It uses strict timeout management (2 to 10 minutes) to ensure that even extensive research across 24 unique angles is synthesized rapidly without waiting indefinitely for individual agents.

Question 2

Which AI models does the orchestrator utilize?

Accepted Answer

It leverages a multi-provider strategy including perplexity-researcher for real-time web data, claude-researcher for academic and detailed query decomposition, and gemini-researcher for broad multi-perspective synthesis.

Question 3

What is the Research Agent Orchestrator skill?

Accepted Answer

The Research Agent Orchestrator is a specialized Claude Code capability that manages multiple autonomous research agents (Perplexity, Claude, and Gemini) in parallel. It automates query decomposition, data gathering, and the synthesis of comprehensive reports with full source attribution.

Question 4

What are the three research modes?

Accepted Answer

The skill offers Quick Mode (3 agents for simple queries), Standard Mode (9 agents for comprehensive coverage), and Extensive Mode (24 agents using UltraThink for deep-dive, multi-domain analysis and maximum query diversity).

Question 5

How are the research results organized and saved?

Accepted Answer

The skill follows a strict 'Scratchpad to History' pattern. Research begins in a temporary timestamped directory for raw outputs and drafts, then is moved to a permanent archive in your history folder with a README, final report, and metadata for future reference.

Research Agent Orchestrator

Research Agent Orchestrator

Características Principales

Casos de Uso

Características Principales

Casos de Uso